Boron cluster compounds are extensively studied due to their possible use in medicinal chemistry, mainly in the boron neutron capture anticancer therapy and as new innovative pharmacophores. Concerning this research, the chiral separations of exceptionally stable anionic 7,8-dicarba-nido-undecaborate(1-) and metal bis(dicarbollide(1-) derivatives with asymmetric substitutions remain the unsolved challenge of the chiral chromatography nowadays. Although the successful enantioseparation of some anionic 7,8-dicarba-nido-undecaborate(1-) ion derivatives were achieved in CZE with native β-cyclodextrins, it has not been observed with HPLC, yet. This study aimed to systematically investigate the enantioseparation of selected compounds in HPLC using native β-cyclodextrin and brominated β-cyclodextrin. The findings revealed positively charged strong adsorption sites on a stationary phase, identified as the cationic metal impurities in the silica-gel backbone. All the anionic species under the study were at least partially enantioseparated when a chelating agent blocked these cationic sites. Consequently, the first-ever HPLC enantioseparations of the 7,8-dicarba-nido-undecaborates(1-) were achieved. The brominated β-cyclodextrin seemed to be a better chiral selector for separation of these species, whereas the native β-cyclodextrin separated the anionic cobalt bis(dicarbollide(1-). The results of this study bring new information concerning the chiral separation of anionic boron clusters and might be used in the chiral method development process on other chiral selectors. Furthermore, the possibility of chiral separation of these species could influence the ongoing research areas of anionic boron clusters.In the present study, an environmentally friendly magnetic dispersive micro-solid phase extraction was developed based on magnetic agarose nanoparticles and deep eutectic solvents for the isolation and pre-concentration of three flavonoids (morin, quercetin, and kaempferol) from dark tea, chocolate, vegetable, and fruit juice samples. In this method, deep eutectic solvents were synthesized from less toxic and low-cost substances under feasible conditions and used as eluents in the desorption process. These solvents can be considered as a green alternative to traditional organic reagents to increase the adsorption capacity and reduce the matrix interferences, dangerous waste generation and environmental pollution. A Plackett-Burman design was employed for screening the experimental variables. The effective variables were then optimized by Box-Behnken design (BBD). Under the optimial conditions, the presented method demonstrated wide linear ranges of 1-500 μg. L-1 for morin and quercetin, and 5-500 μg. L-1 for kaempferol with satisfactory recoveries above 91%. Limit of detections (LODs) and quantifications (LOQs) of flavonoids varied in 0.2-1.1 μg. L-1 and 0.66-3.63 μg. L-1, respectively. The precision of the proposed method was the range of 2.6-5.7%.In the present study, biocompatible hybrid nanoflowers (NFs) were synthesized by amino acids (glycine, l-lysine) via a simple, rapid and cost-effective methods. NFs were characterized by using FT-IR, Raman spectroscopy, XPS, SEM and EDX techniques. Modified pencil graphite electrode (PGE) surfaces with well-defined NFs were developed to electrochemical monitoring of calf thymus double stranded DNA (ctdsDNA) using differential pulse voltammetry (DPV) for the first time. https://www.selleckchem.com/products/OSI-906.html SEM, EDX, cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) methods were used to characterize the surfaces obtained after modification. In comparison to l-lysine NFs (LNFs-PGE), glycine NFs (GNFs-PGE) exhibited a higher sensitivity performance towards the oxidation of guanine moiety signals. The interaction time between anticancer drug Mitomycin C (MC) and ctdsDNA was aslo investigated with GNFs-PGE.This paper reviews the recent development of electrochemical sensors for the detection of vitamins over the past three years. Vitamins present in natural foodstuffs are a group of organic compounds that are indispensable to maintain human health. While they are only present in minute amounts, they still play a significant role in healthy metabolism. The deficiency of vitamins in the human body often leads to numerous diseases. Because the human body cannot synthesize most vitamins, it is necessary to obtain them from dietary sources. For these reasons, the detection of vitamins has gained widespread attention in recent years. As it is well known, almost all vitamins are electrochemically active. Based on the electrochemical oxidation or reduction reaction of the vitamins in an electrolyte, electrochemical sensors can obtain the concentration of the vitamins by measurement of the current at the working electrode. Electrochemical sensors for detecting water-soluble vitamins, such as vitamin B1, vitamin B2, vitamin B6, vitamin B9, vitamin B12, and vitamin C are discussed in detail. A comprehensive overview of electrochemical sensors for detecting fat-soluble vitamins, such as vitamin A, vitamin D, vitamin E, and vitamin K, is also provided. Furthermore, the strategies employed and the performance of the electrochemical sensors for detecting vitamins are described. Finally, current challenges and future prospects of electrochemical sensors for the detection of vitamins are discussed.Data-driven engineering of microbes has been demonstrated for the sustainable production of high-performance chemicals. Metabolic profiling analysis is essential to increase the productivity of target compounds. However, improvement of comprehensive analysis methodologies is required for the high demands of metabolic engineering. Therefore, a liquid chromatography-tandem mass spectrometry (LC-MS/MS) based methodology was designed and applied to cover a wide target range with high precision. Ion-pair free separation of metabolites on a pentafluorophenyl propyl column enabled high-precision quantification of 113 metabolites. The method was further evaluated for high reproducibility and robustness. Target analytes consisted of primary metabolites and intermediate metabolites for microbial production of high-performance chemicals. 95 metabolites could be detected with high reproducibility of peak area (intraday data CV less then 15%), and 53 metabolites could be sensitively determined within a wide dynamic linear range (3-4 orders of magnitude).